CADDY Underwater Stereo-Vision Dataset for Human–Robot Interaction (HRI) in the Context of Diver Activities

CADDY Underwater Stereo-Vision Dataset for Human–Robot Interaction (HRI) in the Context of Diver Activities

In this article, we present a novel underwater dataset collected from several field trials within the EU FP7 project “Cognitive autonomous diving buddy (CADDY)”, where an Autonomous Underwater Vehicle (AUV) was used to interact with divers and monitor their activities. To our kno...

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Bibliographic Details
Main Authors: Arturo Gomez Chavez, Andrea Ranieri, Davide Chiarella, Enrica Zereik, Anja Babić, Andreas Birk
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Journal of Marine Science and Engineering
Subjects:
dataset
underwater imaging
image processing
marine robotics
field robotics
human–robot interaction
stereo vision
object classification
human pose estimation
Online Access:http://www.mdpi.com/2077-1312/7/1/16

Internet

http://www.mdpi.com/2077-1312/7/1/16

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